{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Multimedia Security Experiment 10\n"
     ]
    }
   ],
   "source": [
    "print(\"Multimedia Security Experiment 10\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import myipf # 前面的实验编写的函数\n",
    "from matplotlib.gridspec import GridSpec\n",
    "#from mpl_toolkits.mplot3d.axes3d import Axes3D\n",
    "\n",
    "%matplotlib inline\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文\n",
    "plt.rcParams[\"axes.unicode_minus\"]=False # 用来正常显示负号\n",
    "%config InlineBackend.figure_format = \"svg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = plt.imread(\"standard_test_images/lena_gray_256.tif\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图像比特平面"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 29.2 227.652812 \n",
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       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 246.64 227.652812 \n",
       "L 246.64 10.212812 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 29.2 227.652812 \n",
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       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 29.2 10.212812 \n",
       "L 246.64 10.212812 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p0990c35d8e\">\n",
       "   <rect height=\"217.44\" width=\"217.44\" x=\"29.2\" y=\"10.212812\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(myipf.bitPlane(img, 1, \"bit\", True), cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### \n",
    "我们可以看到LSB置0或置1均方差很小，都不超过1，峰值信噪比51dB，与原图十分相似，人眼无法分辨。  \n",
    "但是把第4位置0或置1，峰值信噪比只有33dB左右，人眼可察觉到变化，图像甚至出现了伪轮廓。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "LSB_set_one = myipf.bitPlane(img, 1, \"one\")\n",
    "LSB_set_zero = myipf.bitPlane(img, 1, \"zero\")\n",
    "four_set_one = myipf.bitPlane(img, 4, \"one\")\n",
    "four_set_zero = myipf.bitPlane(img, 4, \"zero\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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ZGUE4HEYmk0E+n0cymWzaTCaZLBaLID4ysZRuNUGl+hmanAsXLuDo0aOw2+0IBoPweDzI5/MSJNInqTkXUitGoxFXrlzBa6+9JmgPANxuN7Zu3Yp4PC40Tzabhc/nQ7lcltBCu+uuuyRjVavVkEqlmvgd4DZ2r1arOHXq1B8gFR6W0WhEsViUaLZaraK9vR39/f2IRCLI5XJYuXIlHnzwQYRCIczMzGDDhg347Gc/izfffFMSVmQ76Qv4bKFQCLquY2FhAT6fT+h7CgQda6lUgtPpFJjKzac9V+EkJZw+4ZlnnoHJZILVahX/om4694PXJnFJFtZoNGJpaUk4O2pTd3c3AoGAsAC5XA75fB6hUEg0SXv/+98vyaD33nsPFy5caNpo3oQX3rFjB6LRKKLRqARVq1atwtTUFAKBAN544w2EQiHs3bsXp0+fxrPPPotTp04hm81i9erVuHHjBhKJBHp6evBv//ZvOHjwIP7nf/4Hzz//vEifmsMghLVarVhYWMCNGzeEmjCZTHC73XIY9XpdAkf6PgoLnTR/kdJR4exjjz0Gl8uFrq4u9Pb2QtM0TE1NoVAoNEXupFcoJNynVCqFcrmMTCaDt956S+IRTdOwdu1a7NmzB0NDQ4JaZ2ZmxJxlMpkGtM3lchgeHhZc7XK5/oDr4QM///zz2L9/vzgqTdMQCATw0Y9+FJOTk3JYr7/+Onbv3o2f//zn+PCHPwwAWLVqFSKRCHp6ejA2NobHH38cjz/+OD7ykY+gpaVFkk/5fF4WTmrDZDLBYrFgeHgYVqsVPp8PJpMJCwsLcDqdwmtZLJamuIPUDvMGKn2ufm/fvn2Ym5sT9MWc+NWrVwVO028QQZJOj8fjyGQymJ6eFl919OhRQXxAA4hs374dW7duxdDQkORZEokEzGZzw7Js37794NzcHMbHxyWX63A4EIlE0NHRAYvFArPZDJ/Ph+XlZUxMTOD48eNYs2YNJiYm5Obd3d2YmZlBV1cXhoeHMTs7K6nVcrmMmZkZWCwWVCoVxGIx5PN5XLp0CQ6HAz//+c8FizOgLBaLkm0rFouS3atUKiiXy+jq6oLNZoPH42kqSKhWqzCZTLDZbNB1XRAT/RjBAA/CaDTigQcewPz8PKLRqNAoQANZapqGvr6+Jq6KjPDc3JyQfWQBDAYDFhcXoWka9uzZIxoLNADD2rVrUSgUcPbsWWGcWWtgevXVV6FpmmTcVq9eDZ/Ph/b2dnGOuq4jHo+jVCrhs5/9LPbt2ydUNoOiN954A3a7HcPDw8jn8/jc5z6HiYkJZLNZXL9+HZ/5zGfw9ttvAwCuX78OXddx//3344UXXpCInwdrt9thMplgMpmQz+cl5047Tu2x2WyCZJixU2MF1ZYzR8L/Gx0dxRe+8AUxI+3t7fD7/QKvKQCkeOLxuJhNRt30RR6Pp4mQdLvd4jO4f3wuv9+Pp556Cj6fDz/72c+QTqcRiUQaZpk2joGXyWSC3+9vULq/lx6gEWXXajU8//zz+NWvfoVAIIDu7m7hqGjvU6kUarUaMpkM7r33XhgMBlgsFrz++usAgN27dws1zjIWmiFCYv5aWloCADkIu92OTCYjEr20tIR8Pi/OmVwTN9jhcMDn80nsUq1WMTs7i4997GP4u7/7O5TLZTmger2Oq1evSvKHPqJcLsPn8yGTyWB2dhaZTEY23u/3IxwOIxKJwOPxIBAIiLDwoEjRU1gcDgecTid27tyJXbt2oVarYWxsDMvLyzCRZuAPt7W1IRAI/NGDYBT+0EMP4bHHHsOLL74oB5JKpdDb24uhoSHB0d/+9rdhMpmwZ88exONxhMNhVKtV3HfffbBarfjyl78sFHYikcCKFStEuhgg5fN5CZCAhiP3+/0YGRnB2bNn0dnZiWq1img0ilWrVklgqus6PB6PHGY6ncbly5fx9a9/HQ6HQ9ATI/dsNotAIACLxSJFAsxxM8+dz+eFs+MmA5DDo4ZSIDKZDILBoBwE91HTNKxbtw7d3d3Yv38/vvSlLyEWi8FEqTSbzQgEAk2JFaPRKDBXJQ29Xi9GR0eFKlizZg3m5uYwOTkpKVGavoGBAdjtdqxduxbFYhGFQgGjo6MYGRmRB6cpSafT4htY9eFyucRXcPGsygiFQohGo1i9erUcqlrXxA0jHU+NIkzVdR0Wi0WsAlPOrPFi/OFwOIRxMBqNoqkEGQAE9amfXC7XVKOlojceTm9vL/7jP/6jkU5gXRGxtoqr6RO4COLver0Ol8uF7du3w+v1Ip1Oo1wuw+/3o1qtIhKJYHJyEoODg9i5cycKhQJ+/etfo1arIZlMwu/344UXXmhSadp1Ym4WfN0JQ9vb2zE/P4/t27ejv78fHR0dcDgcAlnpZJnY4lpYD7V//350d3cL+Wmz2QAAbW1tSCaTsNlsaGtrE5iskouqVtyZdFOra1paWqBpGm7duiWwmIdAdMWA1G63o62tDX19fdCq1apg+oWFBWFDVbtJx8p/r1aruP/++4XyWLduHYBGDiMQCGBychI9PT2YnJxEuVzG9PS0OEM+XCgUwt///d+LVhC60nfQEZLkCwQC8Pl88Pv92Lp1qyR4uHBqLiPaWCyGZDKJqakpxONxcfjRaBSpVEp8SKFQQHt7uxTU6bqOlpYWKVkl0elyuYToo/NWS0X5Z1oSs9ksoIj3oiVQhZ2CDgAmlWFkdMiEPwk3VXoJHZnr5YXT6bSo/bZt2yTaXVxclKSSeuNqtYpkMikSBTRKR3nYTG1ms1kUi0WEQiFJevn9fkFbXLhqk1m1d+PGDVgsFkFB69atE7aADDDQiNzVUqHl5WWUSiXMz8/D7XZjYWFBbL9au0XKRqXt1YpHrlPNIKoazJ8VFEh1YXBVKBSknocbbTQaUalUYDQa0d/fD5vNhkOHDgn/dPjwYfT29sLv90sCfuvWrVheXsbo6Ci2b9+On/zkJ7h06ZJs5jvvvIMrV67gm9/8plTfpVIp8RsMKl0uF/L5PMrlMnK5HEKhkFQ5mkwmMXUEF5VKRYoVPB4PVq9ejf7+fmzbtg0ejweapuHTn/60HGgoFMLi4qIEcWoup1QqIRQKibOnr6BPYlBHYpOSTiEldU7TRM1jPMW956FqvAAXo7KQanaLwdiFCxfwxBNPoFgsYmBgAJFIBH6/X9KiALBixQpkMhnU63XYbDakUimsXLkSIyMjmJychK7rWFpawv3334/vfve7eOWVV5oqS2iDqYWkXUKhkNQZmUwmOJ1O0SI61lwuJwkfJqb452AwKI78iSeegNlsRiKRkHjF4XCI41aZYzWBxb+rVTNkdulXKek0+XTyzAhSg4Db4MlsNkOjBrDgKx6PN6kdT5i/W61WvPDCC/jgBz+I06dPIxwOY2pqSmjier2Ot956C8PDw1izZg1mZmZw8eJF3LhxA/v370coFJJAqb+/HwDwT//0TwgEArh16xbMZjOWl5flUCiVLS0tsmCaQDrfarWKXC4nlewulwtutxv5fB7pdBrXrl3D6OgohoeHkUwmJfhkhSBNRU9Pj0TXNJHr1q0TYcjlcn9At6voU90vs9mMfD4vpv/OnIrqd/gzxlWrVh1UKwZdLpfUNpFSoMSTh5mensbi4iJsNhvcbjdu3ryJUCiEiYkJ9PX1wWaz4dKlS0gmk4hEIpiZmRFt+tGPfoQ33ngDDocDs7Oz+PjHP47jx4+ju7tbEvys3nY4HEilUlheXsaWLVtgs9nQ2dmJer0uFIjD4ZDNdLvdaG9vFzjrcDjg8XjQ2dmJwcFBAMBDDz0kWn7XXXfh7Nmz8Pl84itZLkSIe99992FhYQGVSgUejwdGoxEOhwPFYlG4M7UeWdWsYrGIrq4uGAyGpuck21uv1wVqGwwGaCaTCR6PR8jBbDYr9DNtJyl04HZBQq1Ww7p166Qulj0bFy5cwMzMDAKBAILBIDo7O9HZ2QkA+NnPfoZHHnkEAHDmzBkEAgHE43H88z//MzKZDD7+8Y8jn8+LirPggdCVETgdosFgEChrsViEllDroSh1ZFB5XU1r1NdSG6iBBoNBiEoirYWFBSwtLclm0hHzOdX8BqWfCEutBeZHdQHq82n1el18ArWBN+OXVXUiinG73bh06RJ8Pp/EDl6vF6tWrUKlUsHc3BzC4XAT6mH5y5o1a5BKpfDyyy/j+PHjeOuttwAAIyMjuHDhgjjRhYUFyV1nMpmmfhEGg4xD6OvU0hyj0YhCoYCbN29iZmYG2WxWIDt90oMPPigbHIvF0Nraira2NlgsFrjdbunMeu+990QY1QwiERyDTcJ0/pnBIAs41LiFPkgagsxms0S7+XwehUJBKAB+mTaQEknuiQ/X1tYm0fratWuxatUqBINBnD17FrFYDE8//bRcr6+vD/Pz8ygUCujt7cXw8DDOnz+PUCgEv9+PY8eOYdeuXVL0xUJoVt5xEWQ61VYzOktKcCaTQTweRy6Xw69//WucP38eqVSqib2l8FGqFxcXMTMzg0QiIcjS7/fjypUrgrDIMqib+sd8iLpP/D81WFQ/uq5Dczqdws4SkbCxQ+174AmSo6K0GwwGtLa2olQq4b777sOLL76IP/uzPwMABINB+Hw+vPjiizh06BA6OjqQSCRQqVSwbt06zMzM4MqVKzh8+DB+8IMfYNOmTYhEInj66acRDodx+fJlkTA1gOKCKd1qVo6CUyqVMD09jdbWVvz0pz+VaJwcGTOS1WoVH/3oR+XajGVoygirVcGk5Ks9ISpbwWc0m82SQqCw0FxRYCgEAKDR5hJ2sUetUCj8QaTJaHRxcRHve9/7hLFlvtntdqO/vx9f/vKXce3aNUQiEaxZs0aqtImsrFYrnn76acTjcUQiEYnIP/vZz2J6ehrHjx/Hf/3XfzVpJIvguBGqCVUL2dSKluXlZZhMJokreJ/Vq1ejUCgIrHS5XAiHw2KC2tvb5fBKpRKuXbsmFI2aSiVC4rPY7XbRWH5PrRThgfA5uedSscK8Nb9gNpslAKS6qSQhHenZs2eFFV27di3Onz+P3/72t9A0DQMDA9i/fz/i8TgcDgfa2tokoGLDy49+9CMMDAwgHA7jG9/4BpaWlmA0GvG9730PyWRS6naZ2L9+/bpwVHwOOmpqgnoQmqYhGo0im80imUxicXFRqtsBSLLJYDDAarWiv7+/KUYoFArSGjY9PQ2z2YyxsTFBUWrgx/sS+qvFfbVao78PgBQ786DvpEY0YmeVK2lpaWliJdUghiTZwMAAUqkUdu3aJQTaE088gR07dmB4eBinTp3C5cuXMTMzg3vuuaep1y+dTsNgMODtt98WRvSTn/wkHn74YVy6dAmrVq3C66+/jjfffFOSTplMRhy1mnemlJI+oXkhv8X0Kvs5Ojs7kclkZKNoMsLhsBRDsNA6HA5L11UgEMCZM2dQrVZx69Yt2R8yAGofCzWXjv3KlSsoFAoSKnA9qgBVKpXbVei0hTabTeClqhkqfwUAly9fRrVaxW9/+1tMTEzgb/7mb/Ctb30LR48exZNPPol8Pg+j0Yjh4WEcOXJE7C7bsWw2m+Suf/3rX2Pt2rU4fPgwzGYzvvWtb2FiYgKFQgHHjx+XZ1MlUQ2g7Ha7EIoAhLLggdDRs544kUgAuJ1Xp0MmYOAhh0IhuQ9NUCqVQrVabSpnoj/hoVCI1Ry7SpKqhCajeZPJ1HDgXq+3iTWl9KkJHR4IT5epUrPZjA0bNmBoaAiBQADlchnf/e53sX37dgQCAWzfvl0iYtpQ9iPEYjF4vV5s27YNX/va1wA0smeJRAJ9fX3SCRWNRpuqOMjAWq1WeDweSRbx/1WIS7hOW+7z+SQqZgSvpm3ZUmYymSQdSr9aKpXw7rvvwmg0YmJiQjZdNTnMOPJ3oNEOPTw8/AdCUC6Xsby8LGy4RrOj2j2HwyH2TYVtPGVW9+XzeaxZswa9vb3Yvn07ZmdnJYd+4cIFdHd347XXXsNHPvIRqSTXdR0bNmxAKBTC4OCgFMSx5LFWq8Hv92MSPW0NAAAgAElEQVR4eBjf+973UCqV8NOf/lRauLipaq8F1ZwL5UHQQbKmixtPTaEfo+Nm7psRs8/nw9zcHNxuN5LJJDRNw/T0NOr1eqO05veZQpXL4x4xOKaAuN1uXL58ucmMmUwm1Ot18aUa1Yw/QBuuftRDIUtJFHLhwgUMDQ0hHo9j586dSCaTWLt2LSYmJrC4uIhVq1YhkUjgkUceEdLvxo0bCAaDWF5ext69e/Htb39bsoD8vPLKK8jn80gkEpibm8Nbb70lUxeYq2dwR6SVTqcl3UlpVv1CMBiU7/PwSPxlMhlZN021yWTC0NCQWAe32y3foY8gGUnTSTNKjVKTY7qu4/Tp05ifn5d1svCuWq02iMJAICCO2WQyidmiA1S1gw6RDfNWqxW9vb1S5bd161YUi0X4fD6cPXsWZ86cQSgUkiLivr4+7Nq1C9///vfR1dWFUCgkNpp2mQ2SsVgMhw8fxtTUFMbHx/H1r38d8XhcBGJpaQmJRALxeBxXrlzB+Pg4zp8/L3VMdrtdanNtNptk9mZnZxGPxzE3N4dSqYSZmRkp/0+lUlhcXAQAOVD+mVwcNVT1q/yoDTgMSGnmLRYLSqUSzpw5Iz2AHCag63qDQmdSiCZA1QQ1OKGWkOLgz3Z3d+NHP/oRTCYTBgYGcODAAYRCIQDAmjVrsLi4iCtXriCRSKC1tRXT09Po6urCxYsXEY/H8dBDD8mCCWc1TcNvf/tb7NmzBxs3bhTnNzAwgKWlJeRyOdGA6elpxGIxZDIZyQjy/pRIVpdQyrPZLKrVqrQXnDx5UoSNtWJGoxHz8/NSqM0O19HRUbjdbiQSiT9aXN3V1SU+SU3e8WOxWDA5OSl+RDTrrrvuOlipVAT6lctleL1ehMNh6VtjNXYymZTyTD5wqdSYiXHPPffgnXfewcsvvwyn04mvfvWreP/734+vfvWrmJiYEDxPO80uz2PHjiEWiwnpR0ljwuu1117D8PAw7r77bpjNZqxfvx6bN2/G7373O2iahuHhYSwsLMDtduPo0aN48MEH8Sd/8idIpVK4dOmSVH+0tLTA4/FgxYoV+M53vgODwYCJiQn85je/wWOPPYarV69KL/zy8jKMRiP27duHa9euySAX+oBbt25h7dq1qNfrkrCiydG0RiW96rPI2NbrdbS0tIhp0nVdGPBSqdRgbQnZGMnSkVG96JzI61MN1TrYYrGIcDiMXbt24ROf+AR+/OMfY2xsDIODg3j66aeRTCbx/ve/X+gQVhWqlIbb7Ybdbpf7tba2wuVy4dFHHxXzxACVBXPvvvsuAODEiRNIpVJ4/vnnkc1mMTY2hlQqhUqlIrGK2jPxyiuv4MSJE1JqxDY4VcpJsbCYgYhQ0zTEYjHY7XZ5fhXSEgwx6UTzxbQtTRgRVz6fx9jYGIwDAwMHeQjMnLW0tKC9vb0Jp+dyObBnnNkyJnxoysjncwSG3W7HypUrYbFYMD8/j+PHjyMUCiEQCKC3txfBYBBmsxlTU1PYvHkzgsEgRkdHUS6X8bGPfQzvvPMOXC4XXn75ZXz6059GIBDA8vIyWlpa0N3djQ984AN48803cfXqVcHv9XodL730Eo4dO4b169cjEAgAADweD+x2O2w2G3bs2IHe3l689957mJ2dxbFjxwRlSanl7ytJDh06JGaOqWCLxYIrV65g69atwtVx8ym8Kt+nahUFXPUt9MOaWk5Jjkr9EmGYWm7Cj5rnUOmSEydOyL/ruo5Nmzbhr//6r7Ft2zaUy2WMj49LDNHS0gJd1zE8PCz2d3BwEK+++iq8Xi+y2Sx6e3vxj//4jzh06BDS6bSU009PTyMajWLnzp1oa2uTgTS6rmPHjh0IBAIyXoO9IMViEel0Gr29vfjkJz+JD3/4w7BYLPB6vWhtbZWyfZoRVo2oUJrJKxYuqx9uMn+GG39n9pTCw32t1+uNIjYWHNhsNtTrdRgMBtkYtQpEpR94AaoeR0ZQBZPJJJaWltDa2oqzZ8/i4MGD+MIXvoBz584hHo/j9OnT6OnpwczMDDo6OrCwsIBCoYBt27ZJIw7QaEEwm804duwY+vv7EQ6HcevWLXR3d+PcuXNCz585c0ZahM+fP4/z58/j5ZdfxrPPPivOXK1dcrlc2LVrF+bn58WkeTwenD9/XqSX8z3ofGn/jUZjUwSdyWRkSptaXaiGA38sj8HfefDGzZs3H1SrqxmFciSDpmkyIiibzWJ8fBzpdFqiTJomckJMJZJsrFQqaG9vx9jYGILBIILBILxeL1avXo1KpYKhoSFs3rwZ4+PjqFQqAhIoMdeuXUOlUsHg4CC++MUvwmw2IxqNSocVSyh7enrw9a9/HbquIxKJYNOmTdi/f78UcFNI3G63BK4OhwMdHR24//77sXPnTvziF78Q57tjxw50dXXh9OnT8Hg8yOVy0sPNTa1Wq+jt7UU2m4Xf70elUhEnTsRpNBolTUzuqlKpCDxXK9Q1tYSe0s+AjqrFmINawT+zJokPxu/XajX5P13XMTk5ib6+PiwsLACAFKOdOnVKHioQCKBQKEiSicwptfYXv/iFVIb8+Mc/lmZ4AFKF+Oyzz+Lee+9FNBqF1+uVZBk3j478zv4M8mQcI1EqlYTxJbFJE8VYwWQyYWRkRPLpquOmFnLfWGdGdKUGpOTV7HZ7g0LnRWhqVN/BhfCGLBZQD0LNO1AyVZi6tLSEjRs3IhQKSWW52WzGnj17EI1G0dXVhUwmg2q10cDPjJ3VasW2bdukM4nXczqdMoKP/Ni5c+dgtVrlWolEQvoriKjUn2cETzR0/fp1gcEulws7d+6UlAC5LAoH96FSqUjLAhlt7gMzlJlMBul0WnLwjM69Xq84fhFynhZPlkEdN5aLITQDmh03P6yQM5vNIkksWK7VanjmmWek+oP1SpFIBOFwGEePHpVDX1xcRGtrq/SeDw8Pw+fzYfv27di8eTMymQxeeukldHd349SpU5IfCAaDQlM7nU74/X7xPaQoWMmhfqgJ2WxWAjCytzxArkul6Skgly5dEoHjPvCeDCxpssgcs86LQWFTcklFTipqoErRLLFSRO1DUwsXeIiMWViukkwmpYbI5XJhZmYGbrdbIu6uri5Eo1GhZGZnZ+VenDBQKBRw6dIlHDp0CC6XC8888wwGBgYwPDwsI4jMZrOMIGLrwOzsbFPRGWG4miItFAoYGxtDLBaDz+eDzWZDa2urzMgiQiO8Z67CbrfjvffeQzKZxNzcHFKplAAPTWs0xng8Hqm+8fv9TWwGYTRZZU0luGiq1ND9zsNhipWVfLlcrkl6eGiUqnQ6jTVr1khyyGazSZ1SoVDAvffei82bNyMajcLn82Hnzp3QtEYp5caNGyXdmUql8Od//udiRvx+Pz7zmc8Ikpqfn4fFYkEul5PgrFqtYt26dXA4HJKL5lr5i6PrOKKpr68P4XAYk5OTMgeFbLPFYpGyUD5jLpfDhQsX4Ha7cf36dSnQ4xQG+lIiLO7lnelZs9ncMFNqoS4lgIdEiVKTJ3TYhUJBciCcy8QFUkJUR/WhD32oCQxYrVbkcjk4nU5Eo1Hs2bMHk5OTAkXJApjNjSZQojimNx0OB375y19ibGwM169fF+JP1/Wm+Rwsu0kmk1JIrZrWVCol6V1d1zEwMACHwyFNN9xMmj2aKm7i1NSUHD43m+ae+0ht4h4SPjcdBqVaTZIwX6H2IfBkeUPyLdw0OnS58O8fKJ/P4+mnn0YikcDU1BR6enrEtJFSSafT8Hq9mJmZwbZt2wA08uperxc3b95EPp9HZ2cnXn31VVSrjaltXV1d2LhxI1atWgWHw4HVq1fjpz/9KWKxmFQShkIh6XBlEMaCCqKsTCaDc+fOoVarYXBwEA899JBA4QMHDkgBOOdI0SnTb7LZ5tatW/B4PMhkMgIq1H3lR40tKCz02xrjBR4KhxqazeamFmD6CVbf0d7zgcrlsvxSq0zC4bBMM1i/fj3efPNNObBSqSRtvoVCAVu2bEGhUMDWrVuFyGOcwOYZZuri8Thu3LiB8fFx/PKXv0Q6ncamTZtw8uTJpipwtTiAxQQk94hyLl++DL/fLxt99epVGRp85MgRCfbUui1CUh7y6OgoNE0Tf6lak/+faVJ9WalUatAh3Gg1M3Vnho+nTCet2kC1IYTNIpVKBQsLC3jmmWdQKBQwOzsrZCHQSK+yOJkB4/z8PHp7e+Hz+bBhwwahJoiUtmzZgmQyiT/90z+FydQYBNna2oo9e/bglVdewTe/+U1s2LABL774IkqlkiSDePBqTS2jcDr6eDyOTZs2Qdd19PX1CbMwNjaGI0eO4MCBAwJoaL5p5kqlEq5fv45EIgG/39+E4FSzzAPifqkcltVqhXHTpk0HgdsZJ0I4RuGMHBmFs22YeJ0LY6ExUUoul0Mul8P+/fuhaZoMOKnVanj77beFBWWlCAuKE4mElFeuXLkSXV1dGB0dFclluebDDz+MtrY2DA8PY3FxEY899hjeffddzM7OwuPxSAFzMBhENpttmo5Tr9clTmAD6O7duzE6OorJyUl0dnbK1E6Px4O5uTncfffduH79uoxaUpuBKEwctp9KpaRPhfvHCdXcSzIU1N56vQ7jxo0bDwK3SyPZ00ZMzMZxOuiJiQnpkWbegWlFpjOZBt20aZNwS2+99RYMBgNu3LghVSEul0vIQJoup9OJer0Oh8OBixcvIhgMYvXq1fD7/TKigvdbtWqVDJgh9n/44Yfx4osvIpvNwmAwoKenR+aY89qqvSbON5vN6OnpwYYNG3Du3DnEYjFMT0/j4sWLiEajqNVqePTRRzE6OopEItGUYlB96pYtW8S6qLCf96HVYYaPeQ4AMPb29h6kGWIkzYoRtfSTQSCTMCyNsVqtolVqgXO5XMY3vvENjI6Oytgi1iSVSiV0dXXh1q1b0rdHNEfzAjSabmZnZ9HZ2YlUKoW7774b27dvFySlaY0mxsXFRWzevBlTU1PQdR0zMzO4desWvF4v1qxZg8uXL+Puu+8WSVTTpdQSzsANBALYsGED7rvvPoyMjCCdTmN6elpy4X/xF3+BD33oQ3jttdfEX9DuM0O5atUqFAoFmZpDc67GOPwZNbNq7O/vP0j7x07WYDAoiRVGkIVCAcvLyxgfHxdEw0HxdOIqjs7lchgcHBRagKX2bW1tuHnzplDulHQ26/DnWZrJUszW1lZcunQJp06dwsTEBPbu3Yu1a9fC7/ejq6sLU1NTaGtrQy6Xk1YCTikYHBzE+fPn0dbWJowCp5VSgPg7K9sNBgN27tyJNWvW4OLFi1heXkYymUQul8ODDz6IH/7wh0ilUnA4HMjn89JgYzKZ0N/fLwQq2W21xFP1IRSCer0Ok1oMQLVlIzydEB+aB6NqEU9ZzTVTGoSnNzUG9YZCIYyOjsp4olqthtnZWYTDYelBdzqdSCQSsFqtWFpakgDq/PnzEuw98MAD0HUdiUQCN27cwK5du7B161aMjo6is7MTTqcTyWQSb7zxBrZu3YoLFy5gxYoVYg4DgYAEsOoGMamkxlbd3d147rnnMDY2hl/84hc4d+4curu7cfr0adEAt9uNXC4Hm82G6elpzM3NCdHIGI5CQB9BE8YQoFarQePpMTYgGUY7x4/q3GkHVU3ggZJEI4Lh2B9d1yXompyclJx0X1+fjL0rl8tSWcJNm5ubg9VqxT333IONGzfiwIEDWLduHdLpNJaXl9Hb2yubx/GsRqMRoVAI+/btE182OTkpwdnk5KSsuVgsolgsSmMmERJ/6bouaGtgYABPPvkkxsbGMDs721SETf9J0pKkI3Cb/6Igqx/+rNVqbThweno6Q462YyKFp8k56aSjWWRAx0T6vVRqzCj/+Mc/LkPvU6mUDIJsaWnB4uIiIpEIdF1HMBjEyMiIoBertfHWmXK5jLa2NmkFJi3u9/vR2toKs9ksvo2TbFgaQ4Fg43tra6usIRQKIR6Po16vw+v1CvJhTodmi86+Vqth5cqVWF5eRmtrK5aXl+FwOPC+970PR44cETNLgpQOORwOy4x0lX6nkLPcqVb7fRsZX/jBgVt/DAHwBMluEh9TuthHrc7IAG73ALKzaWZmpon3GhoaEoi5fv169Pf3I5VKCY1ArSODajQahY1l7oQFDHa7XSbz02yyQpGAIBgMwu/3Y3x8HNlsFh6PR6r52LOnMta8P9cbCAQQi8WwY8cOFAoFPPDAA02dWRyhNz8/j8uXLwt1z1gHuD1cUiVmJS2rXozqSpirvuqHKkkCkJJEAk3NQfBGTEtqmob33nuvqWyUc0HGxsbQ0tICl8slDnFxcRG6rsuEOPZUsBqDI4Q4McftdsPn86FWq8nfuVCXy9XU1JJIJBCNRuH3+3H+/HnJi4yMjIj2sZOLQkhTF41G4XK5YDAYsH79etlUaoS6X+Pj4xgZGZF9oFmnBeGYcxUaG9evX3+QzoVoZsWKFTK5jNWD1IrJyUksLS2J2mma1pRq5N8NBoNUmczOzkrBVyqVgs1mk0XxFTh+v1+CP5PJhLm5OWiaJn2BS0tLaGtrkzeztLW1yfgkpi8rlQpCoZBIIsttqtVGF6vRaERLS4sAkfb2dtEE5s8XFhZkIgMtBM232WxGa2srgEZljN1ux9GjR2WMRSQSQbFYlOi+XC4L08tYRg3yVIH+vRbedr4AmgITqis5Gf6io2LnEg+CzojX42g4Mql0YmR2TSaTUNdDQ0NNo4xCoZDUsXJiA9+Aw/5yQm6aWLvdjlwuJ5UgpPc5wJGZTJJ/1Bze5+TJk/D7/QCA8fFxMVNEjtw0wmIAeOqppyR7NzU1JbVglUoF8Xgcp06dkmwhtYPWQzX1tVqtMWRYTbZQre4MVFTSi+rLjaPjY+KFdjCdTsPj8SCZTDY1oFitVtE6v98vG3T27FlBL5rW6OUYGxuTzbDb7dKJxDaBVCrVBMM56cHhcKCrqwvLy8sCLXnYHBdus9lk/PXp06dRKpVw/PhxqbliLoWgggKqApW9e/fKHtGM0zTX63UMDQ3JOCdq+51lOzwUjRtJ9MCbqE6cm3/nNH76DpXFVAsT3G63pFYpTdPT06KqVGli9b6+PkxPT+PkyZPytpre3l4ph+Gz+Hw+YVHvuusuTE5Ooq2tTVKuLC/irBE6UcZLjODpX77//e8LCiNIePbZZ/GJT3wCvb29OH/+vDC3XAdbApjn0HVdasDIWhcKBUQiEfzqV79qqijkhxZF/s7NY0KJN+HD8eLVauNVDaoZI4SlCnOzyOf/sZavYDCI2dlZqVykhhmNRunls1qtuHz5sryli46VtpiH6HA4sLy8jI0bNzYNE3A6nRK1s/qdAqHWNLlcLrz44ovi4LkuTdMEmW3cuBE7d+6UkeFEbUwbc726rktxAi0Dq26y2awErax2p0DTzFer1QaFTjqEdp0PTHusBirMBHJDuNH8O9WY/2e1WrF69eomjj8SiQhqIzfFiToA0NHRgWw2i8OHDwNojGDlIpiH4AYwQCTCWl5eboK16garJsbtduPYsWM4deqUaD6fj70qnOzQ29srNb0nT56E0+mE2+2G3++X1xBx89kmQVDEArc33ngD7733nkyvptXhsxmNxtuZPj4IcTvVSD0Es9ks8wvZTqaiGS5UVb2vfe1rUtCshv4cXcSD5LsmSFmwc+j111+XlzF6vV7kcjl0d3dLwwkpHEotF0lHSe0kllfN0cGDB2UjiL7UCZ+qPf/Od76D2dlZ7N69G1euXBE/+NRTTzUVg1MA+TzM8czMzOB3v/udEKqMlbj/mqY1WgJUMstgMCASiQh/REdErD0yMiK+hZEuYa76Kk8Ofc9kMti9ezfOnDnT5Jv4Nki2I3DhfCkt894ejwcnT57E/Pw87rrrLrjdbiwuLqKjo0O+T+aYdI2aNwBuz7q1WhvDhltaWhCPx3HixAkEAgF0dHQ0HUC5XEY6ncb8/LwMKCiXy4jFYrh06RJsNhtGRkYwPDyMtWvX4uzZs7KphNLMm9hsNsl5LCwsoF6vy7ySVColzLgUPhMDM05gFR8lmSfI6gq1T5ySqL7chAfIyvaXXnpJ1B+AkHF8hx8L19RkEABBVawgf+edd5BMJtHe3i48VrValZEUtL13agQjcLXo4pOf/CQsFotoLGkd5mRoFehfIpGIBItMcjHI3b9/v5h49fVD5LoIHNiGPDw8LIem7oumNggSSam5bzXXS5TEjVb70e40QyThgEbWb2BgQLgipi6NxsZ77tSEFAsFstms0CIs629ra5M3QrKkyOfzCVNLs0WIreaaeRBWqxXPPfccLBZL08sSVaiuVkTWao2B+GwvIIwmsVmtVtHf3y9gh/dmIV4+n0dra6sUllcqFZw+fRqTk5MiJBRgra+vD+l0Wl7dQ0nnR03CE0+zyYNmic2RlFQAEtTRfCUSCamzcjgcQiUwGqUf4e/8cyAQECeYTqfFPDJzSEfN3nIeCAlPUigkP/ft2yfFamq/HTcegDTC0ARu3LgR0WhUOrnITFOw8vk8nnvuOfj9fgEMy8vLEsuwGp9zSAqFAk6dOoWRkRHoui6sgkapIkHHh1KbOtQonLkJHgIpBr63jiiHZfOqaWDQlc/nRWto60ulkiSDEomEVJpwnqzL5YLT6YSuN2YP3n333bh69SqmpqZEOCgMBAzqC22z2Sz+4R/+QYJNppQpOPQtFDz6N1oGMq80h7QCqgPev3+/vD+JWkIuj0PNVHPJt0t7PB7MzMw0XrS7adOmpndW3BklMrjhRjJoY1Mmx9jVajUZh00UQXVncMQ4gokdmjwGaexS5b+zWYXRfGdnp7wMa+PGjfB4PBgeHsbY2JggMFWrGag9/fTTmJ6elr+rr6WmRqkxUS6Xg8FgkNm5rL9lzkbNh7Cgr6enBytWrEA+n296CyjjN94zk8lIPdihQ4eQSqUa7+lj9ox2uVAoCPQjHORD0jTReTEOIUcEQBamFiowuaLCWlUi2cnK6JkLYTWJ1+sVc8PAjppE+iQUCkmLMlEVYxijsTEEjIwsA0O2wVFYVPNcqVTg9XrR09MjI14phOTXVMabgOQDH/iA3BO4/aYBpmcpoNT6Wq2GkydPNoACy9P7+vqaXgFHjVBLE3kwamQNQNrQKI1Uc2qRyujWarWmGbeqNi4tLUkOgA6ZFAJpCBZF07SR52J0zpRrPB5HOp3G5z73OTz++OOIRCJwOBzCDqi9EvRdqjn2+XxYuXKlDLjkszDVTGFUKXD6qX379klwymcHIGQn18axsSdOnMBXvvKVBlFotVoRDofR29srEaSaB+YNVYh7ZyOI2tNHjE+/wUPgoo4ePYqNGzeKVFOzjEYj2traJL9Ns6M+A80QN5RjMHg4qsn513/9VxSLRUSjUZkUpG4ewYDayML98Pl88Pl8snFqSlbTbr+DilpEWJ/P5/G3f/u30tfIwQD0t/QpNPHT09Po7u5uRPI0KXz9M9+/RKmlVlAC2THK/AcHOKpBExfLj6pZjGlIGKpRqBpEkhtSoTXQmL9L1a/VGgUM6uuoK5UKRkZG8N3vfhculwttbW0A0MQK0AQDkFwNn5ECyPsajUYsLy9LGpe+lNUwBCksUaUmhMNhfOpTn2oCPqoQsIoFgAwT0Gij3W43uru7sXbt2iYTRLtIroo5CU6yITpReSAiCDa80HGRuaRWcbRQT0+PTORhMoYvqOX1aO44IY7BFOeFMOL94Q9/iCtXrkgWkGlOxixcG4WCUToPQYW79BEccsaN5UFyLbreGJqs6zoeeeQRuc+TTz75Byw4r8HCOs7PLRQKtyc+U0OCwaC8VETNddCps1iAFINaWaL6C5XXYgTNiJwSwoXzJe0sQigUCvB4PJienpYaJ5J/hK0spON7yJeXl/GTn/ykiR1glMtkD4WIB0wNYHcvgQFNqmrWVERJraQJptCy0ZTfP3r0KPbu3QsA4rQppGpSiX7MpKolia07TYyaqWL+Wi0YUP0BAIk21b/ze4TBRCOUGBKHZF3Hx8flRSXxeBxer1dAAdBgUkdHRzE0NCQaRaSk5uDvJO/UyJzOmEEntUEdCExtV7Uqn8+LaeQ1TSYTBgcH5T7j4+O4cOGCTHg4fPiwoEfWAlitjRkmdAkm3oABilqew2CJC6JKM3155+JUKkRNTqmtaFRx0ubcKMYnNBWFQgGxWKxp3BKvw3tSevks/PAgeB1uFlEQNZzaoJon/jzXc6dQqr2N6vV3794tEXg8Hsd//ud/goLudruxb98+vPrqq5JqYNG4WvGvqXwSF8B5GXxwbq5KVRO5qDlu2kNVY+6URLUularKA1IjYGojnX6pVGrqDlU1kTl5ftQ8C4AmDWQGkoQeYxLCVnXOyJ2RNtkItU2bH+bdNU3DmTNnmt4oYDQa0dHRgUceeUT2TG224c9pahEucPsdeaoZUrN46qBFNjMSR/OiajsVr6XmB9QN5ybwUAiV1f/ntajaqmSqB6wmwlSfxWfgv7EIggfF76s+gde+880wvJ96cBs3bhRBSqfTOHv2LLxer4AcUiPBYBCPPvqooFJSPhR0jRuknjRpdRUOklomU6n+O+MMXkdtyqRkqbkOl8sl36dGqRLNzWZ68s7uKiI8Si8PQG2QVwNXBrK8PtlatTechQrq2qg1Kp3OZ+Dfw+Gw1FNpmoZjx44JWADQVLNVKjVeRDw4OIhkMtkU2+i6fhtNqQQZqQ0iGS6YfBGlhn0LlHzyUXzRoZqaVYGB2tvAg+MhUHNUtMXF/LGgTTWDAJpiEvXf1UNj0yXpCB4KD179LtfAddAJ89/6+/tFUJLJJN58802Jl0iY8nBYwdjR0YHHHnusKb9jNBobrcd3SrqquiwE44HRZJlMJkxOTooUU01ZnEWKWS1sUB0vv0/pZsyhmgNVankPVTJV08MPK0OIWCjxPFyyB2qummZJTfbwmRn48XvqPdk2QZDyzsmrgcwAAAFUSURBVDvviE+gYFCLiQT5fx0dHRgcHGz2s3duAO0ko1wV4ajlJqyyJpWgVoyoUnlHxZyYJvVggNt9EWRBWQzGDx+YWknBIEigkNDHVatViZfU7BvvxUiZdl81bSoYubPlgc8A3J74AwCnT5/Gb37zG8noqQLKPWC5KzOc4XAYTz311G3tVSVbfQGWiobUV7ipgQ43WH1Q1aRIblf5Dk2h6hRpmvhn9TWhqobwIO8sAqMgqd9Xte5OYpPv5PD5fMIG33mwqo/h/W02G4zGxgzFzs5OSTalUikcOXJE3gWlkqn0cSpQ4bOR0Thw4AC2bt3acOB3BkbqIGGaBrPZLDwPOSFKFRdsNBplRDbrgphq5YEy2KNq37mZ6iarVRsqOOC/q5vEjxrrqLD8zsNjOwOjX15LNdl83jsPV90LAEKFqN9VtUyF+Px3WpJKpfFev8cffxz/D9Rx1QlPFbhgAAAAAElFTkSuQmCC\" y=\"-21.717463\"/>\n",
       "   </g>\n",
       "   <g id=\"text_3\">\n",
       "    <!-- LSB置0 -->\n",
       "    <defs>\n",
       "     <path d=\"M 3.125 29.296875 \n",
       "Q 3.90625 50 6.4375 56.046875 \n",
       "Q 8.984375 62.109375 13.671875 66.015625 \n",
       "Q 18.359375 69.921875 25.1875 69.921875 \n",
       "Q 32.03125 69.921875 37.109375 64.25 \n",
       "Q 42.1875 58.59375 43.75 50 \n",
       "Q 45.3125 41.40625 44.71875 30.265625 \n",
       "Q 44.140625 19.140625 40.8125 12.109375 \n",
       "Q 37.5 5.078125 30.859375 2.34375 \n",
       "Q 24.21875 -0.390625 17.578125 2.921875 \n",
       "Q 10.9375 6.25 8.203125 11.71875 \n",
       "Q 5.46875 17.1875 4.296875 23.234375 \n",
       "Q 3.125 29.296875 3.90625 50 \n",
       "z\n",
       "M 12.890625 52.734375 \n",
       "Q 10.546875 31.25 12.5 22.84375 \n",
       "Q 14.453125 14.453125 18.9375 10.9375 \n",
       "Q 23.4375 7.421875 28.125 9.5625 \n",
       "Q 32.8125 11.71875 34.953125 18.15625 \n",
       "Q 37.109375 24.609375 37.109375 32.21875 \n",
       "Q 37.109375 39.84375 36.515625 46.09375 \n",
       "Q 35.9375 52.34375 33 57.421875 \n",
       "Q 30.078125 62.5 25.1875 62.6875 \n",
       "Q 20.3125 62.890625 16.59375 57.8125 \n",
       "Q 12.890625 52.734375 10.546875 31.25 \n",
       "z\n",
       "\" id=\"SimHei-48\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(274.764706 16.246875)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#SimHei-76\"/>\n",
       "     <use x=\"50\" xlink:href=\"#SimHei-83\"/>\n",
       "     <use x=\"100\" xlink:href=\"#SimHei-66\"/>\n",
       "     <use x=\"150\" xlink:href=\"#SimHei-32622\"/>\n",
       "     <use x=\"250\" xlink:href=\"#SimHei-48\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"pa6bbdf3b1b\">\n",
       "   <rect height=\"98.470588\" width=\"98.470588\" x=\"7.2\" y=\"22.246875\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"pce97f7c682\">\n",
       "   <rect height=\"98.470588\" width=\"98.470588\" x=\"125.364706\" y=\"22.246875\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"pf29102445b\">\n",
       "   <rect height=\"98.470588\" width=\"98.470588\" x=\"243.529412\" y=\"22.246875\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均方差： 0.498321533203125\n",
      "峰值信噪比： 51.15570706790892\n",
      "均方差： 0.501678466796875\n",
      "峰值信噪比： 51.12654900366353\n"
     ]
    }
   ],
   "source": [
    "plt.figure\n",
    "plt.subplot(1, 3, 1), plt.imshow(img, cmap=\"gray\"), plt.axis(\"off\"), plt.title(\"原图\")\n",
    "plt.subplot(1, 3, 2), plt.imshow(LSB_set_one, cmap=\"gray\"), plt.axis(\"off\"), plt.title(\"LSB置1\")\n",
    "plt.subplot(1, 3, 3), plt.imshow(LSB_set_zero, cmap=\"gray\"), plt.axis(\"off\"), plt.title(\"LSB置0\")\n",
    "plt.show()\n",
    "myipf.calcMSEPSNR(img, LSB_set_one)\n",
    "myipf.calcMSEPSNR(img, LSB_set_zero)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<!-- Created with matplotlib (https://matplotlib.org/) -->\n",
       "<svg height=\"128.526838pt\" version=\"1.1\" viewBox=\"0 0 349.2 128.526838\" width=\"349.2pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <defs>\n",
       "  <style type=\"text/css\">\n",
       "*{stroke-linecap:butt;stroke-linejoin:round;}\n",
       "  </style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 128.526838 \n",
       "L 349.2 128.526838 \n",
       "L 349.2 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g clip-path=\"url(#p5d1f525613)\">\n",
       "    <image height=\"99\" id=\"imageacb5934f46\" transform=\"scale(1 -1)translate(0 -99)\" width=\"99\" x=\"7.2\" xlink:href=\"data:image/png;base64,\n",
       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FLhaLEkx5CqxWqyyuyWSSnMToqr7zne9IYLXZbMJfcX0URZEYQrql0WiIR6CL54bt2rVLfn99fR3tdhsOh0NOaqvVwvLycvdk3HXXXRJIuKC0AN4oCbfvf//7uHz5slgysT0DF/OEVquFrVu34vz583KD8/PzyGQyUFUVsVhMMvTh4WE5fdlsVvIXUggAkE6ncePGDUmi0um0WFi73RbqhHkE4whJTrPZjHq9LlCdG85N0nUd9Xod8/Pz+P3vfw+gS//z55kUc8MZQ2w2GxRFQTgchqZpWFxcxJkzZ1Aul8VFejweHD58GIlEAj6fD/l8HpVKBR6PR4CG0+mEGolEerLfXC4Hm80mVqfruix4u93G9PS0+Ft+CNuMdQDy+KFQCB/+8IcRDAaRSqUwMTGBz3zmM+jv70cul8Pk5CQeffRRnD9/XgJ7NpsV5FSr1cRvk9Ig8ebxeJBKpWRhuIGNRkOKRbciRCZ1drtdqn88JYqi4Otf/7rQ9TxJdG+8PmOFkUIhqGi320gkEmJ0dE/Dw8MIhUJS9EqlUshmsxIjVVWFevToUQwPD4O0yMLCQk+cIASj+zp48CBCoZBgZAbUVCqFQCCAP/7xjxgYGMDRo0dx8eJFfOMb38D09DRarRY+8pGPYHZ2FslkEqOjo3j66afxxBNP4KWXXsKTTz4prK0xs2VQ9Hq9SKfTSKVSWFlZkWQpHA4LPOXvWiwWZLNZWSi73S51kFarJfGFwbvT6aBer+MrX/kKQqEQIpEIduzYAZPJJAvLa1UqFSH7aCTcbBpOsVjE9PS0uHhFUbBz504cP34c09PT4hKz2awYdrFYhNpoNFAul3Hx4kVxJ06nU7h+YmsGuKeeegoPP/wwstmsfFEwGMSnPvUppFIpHDx4EMFgEL/73e9w9OhR/O53v8OnPvUpAJAC1tjYGBYWFnDffffhkUcewb333ouBgQGJW8aMlkZASHzx4kV4PB4J4NysYrEIm80mJ5OBm0UtGo/JZJLFNNYsvvSlLyGZTEpgbbfbsNvtiMfjcjp4KgqFgrDKmUwGiUQChUIBq6urwu+9/fbbaLVaYswejwf79+/H5OQkzp07J26fTHOr1YLKoLKxsYFCoYBUKiVkH3fdYrFIPbfdbuPf//3f8Rd/8Rew2WwwmUyIRqMIBAJytGdnZ1Gv1zE2NiauL5vNYmFhAZVKBW+++SaSySSi0SiCwSCefPJJuTn68UwmI+ioWCyK1ZG2MJvNkk/w5BCKlkol+P1+ca+ZTAa1Wg12ux1+v78HkiqKguPHj2N5eRl+v1/4KD73wsIC3G63sABkrDudDq5fv45sNiuUSLPZxPLysrhNlp5ZCDOZTHjiiSdw5MgRzM3NIZvNIpVKibvU0un0U4lEAmtra3j//fcxMDAAv9+PiYkJsaZWq4VKpYJyuYzPfvazePHFF7G6uoparYZWq4VgMIjZ2Vm0221sbGygXq/jb//2b7G0tIQbN25gbm4Ojz32GK5fvw4AoqC4++67ce7cORQKBWzZsgWVSkVQB0u9nU5HgihdDC19YGAAHo+nB9rW63UxCvJWrFqy1KtpGubm5vDII4/g5z//ucSGLVu2CGFIeqVYLGJychLvv/8+zGYzstksNjc3USqVJI6EQiH09fUhFArB4XDA4/EgEAjgYx/7GPr6+lAsFmGxWKRsu2PHDjidTrz11lvi7qxWa9dNFYtF5HI5KaIwIyTlwaSt2Wzihz/8IV577TUEg0Fs375dkAoftFgsSvHkjjvuENdw5swZAMC+fftQLpelYM/EsN1uC5WiqioKhYJYGDfF5/OJwoPkG+sFwWBQWFlS+UC3LMvNLBaLiMfj+Lu/+zt873vfE5/P+guZY2Nlj0UpxlTSR4qiwO/3Y3R0FF6vFz6fD8FgUJAo3bqu63C5XLBarVLSDoVCuP3223HPPfeg0+nIdU0k4Bg8A4GAVK64EUQx4XAYrVYLn/nMZ/DAAw/gpZdewvDwsLCVu3btwvnz5yUbfvHFF2GxWPCpT31KNEQ2mw179uyBz+fDP//zP0spMplMYnBwUL7T6XQC6ELdcDgsLpNBNxaLIZ1OY2xsDLquIxQKYffu3ajX6+jv74fFYpFNIFqZnZ3Fs88+K4ZDQpCbv2XLFpjNZmFV0+k0yuUy0uk0QqGQwGwj18TgzTyLmwB02YlwOCybThfZbDaxe/du7N69G9euXcMzzzyD9fV1mHgCyDoamc9GoyGJCSt2hItXr14VGmJqagrJZBLXrl2Dx+ORYns+n8fExAR8Ph8GBwdRq9WQyWQQi8Vw48YNeL1eyXY1TRNkQavLZrMIBoMii2FByWKxyAKFw2GMjIwgEAig3W5jdHRUoCj5I7/f31MepX831t79fj+q1Wq3/PnBd1Hx4vP55FrG3MSoNctkMuCHp5Knolqtyn8bayq6riMSieDpp5/u5hsejwfZbFZUei6XqyezZfWMtWePxyNiMhaNmLj4fD6Uy2WMjY1heXkZR44cwaFDh5DL5XDq1CmxskAggB/84Ac9D6dpmrCXuVxOaGaqBcmMhkIhJBIJTE1NiYokGAxKPZtAwGw2yyJwsU0mEx566CEpKrFABkA23+v1IhAIiC7LCBqYuxgBAGOZ0T2xJByPxwV1MogbE0GPxwO/339TtFGpVATTp9Np+RJCWqMV5HI5lEol6LqO48ePI5/Po9VqSQadzWaxbds2rKysYHR0FMvLy2g2m8hkMvD5fEgmkxJD+vv78U//9E9S5DGSfuSMTCaTnIxQKCQKi127diEUCvWQe7TSVquFXC6HtbU1SawKhQIymYwwqSRDK5WKJF6kKcrlsogIxsfH4XK5RKxBNpaSU6I//tntdkvySGWksepI3o+nxFgzUhQFJqIW+k76dio/WMPWNE3gLt1TIBAQEo8bY7FYsG/fPgQCAUSjUWSzWSwtLeHEiRNyjHkj2WxWXAYZUT4AAzrpaWJx+l76bBoN6/F8YKvVilQqhUQiIZnwbbfdJhtfKpWk+sj8gqQmGWEWy3K5XI+/Z35FV0MOj89mMpnEg/D/M6+h1IinjWDE4XB0pTr0c0Z/yD9zoQqFAjRNw9TUFADgzJkzohU6ffo0IpEI/H6/bOLevXtRLpcxNzeHffv24ac//SlmZ2fFJUxPT+Odd97Bj3/8Y4kZtOhWq4VMJoNGo4FgMIhsNotarYZ0Og23241gMAibzQYAElSNJVsK61wuF3bv3o2pqSlMTU2JTPQb3/gGfD6fsAe5XE4kRVwHk8mERqOB7du3y/21220R+zF28f8TZRlLv4ybt+q2jMmnx+OBw+FApVKByh9kwkN/y1/c3NxEvV6Hy+VCoVDA9PQ0Tp48iXw+jwMHDiAQCEhFjjcxMDCAUqkkSr98Po+dO3fi8uXLmJ2dlZNx4sQJPPvss/jP//zPHp5I13VJ4mgMJpMJAwMDCAQCaDQaaDabovMKhULQNA2pVEooiHQ6LYGcyVc4HBa4/MUvflF+h4JmxhWjpyiXy3LiyM7SNfF5yZtpmibIlBVF/iw3iW6KEJ1qRbfbDZUQkhaRSCR6MmFeWFVVwcs///nPceTIEVy+fBljY2O4ceMGtm/fLtzPuXPnMDMzg4mJCVy/fh0LCwuIxWISPOnnR0ZG0Ol08K1vfQuBQABra2uwWCziqqgOoWUatbEEFLzHTCaDfD6ParWKYDAoQTqfzyMWi+H69et47733kE6nMTMzAwCS51QqFei6jvHxcYk9wWAQ6XQae/bsEYNIJpMCFIyUDT/GEi6vk06nJfcyoiyiViN61bZs2fIUOf5GowGXy4Xt27cjEAiIiI0uoVKpIJPJ4P3330cymYTT6YTD4UAmk4HL5cLc3BxGRkagqqrQAn6/HysrKzh58iSKxSJeeeUVXLx4EVarFdlsFp///OcxPT2NkZERCb4ej0f6JVKpFEqlEg4fPixZMtCtFzDrpsSor68Pg4ODcpLtdrvEv8985jMAgDvvvFMC/a5duzAzMyOIqlKpoK+vD+VyWVzjJz7xCcm2A4GAoCVj8smTY6Rp6OYGBwdht9tFkG0UiVPNyA1RLRaL+D5CWvZAkAyjohroqj6IFoaHhxGNRpFIJLCxsQG3242FhQUpVrndbuzYsQORSASdTgenT5/GPffcAwC4ePGiwNTHH38ciUQC999/f88D0oroQoFuSwAhMHMT/g6TQ9b1aUSU1TAz9/v9cDgcsFqtuO2224SEtNvtPUILoJstJ5NJQZEkH+lWWYcnfUIPwySaCSARHNUuvCd6JV3Xu8WlRqMBh8MhO06szosDENfFbNztdkunEqt1NpsNg4ODaLVaAm9pwbSApaUlbNmyBYVCAT/72c8wMzOD8+fPAwCi0ShmZmbkxtPptCwOXRcXn7wZ3Rg3jJJ/ChMymQwWFxeFUucisp3hk5/8pCzw0tKSnCQmwpQPvf3227LptGgAkmyyjm6UCamq2iNWKBQKwiyUy2W4XK7eKqLb7e7B3jxyPDp8MCaA7HUgI0oKnZn5nj17MDAwgO3bt+PKlSsoFAp48MEHRboTiURQrVbFR1+4cAELCwtCUJ46dQqf/vSnpa7OaqLL5ZLs1UjVkE7nh3L/druNUqkkKvLXX38d09PTAsG5COwdoeHlcjnE43Gk02mx8kAggNXVVZjNZmnwod831teN8YN9HpQ68ZQba+7GWFMqlW6qQ9h/kEwmsby8jGKxKKVMVsX4AKFQSHwmiTRVVXHo0CG89NJLePDBBwF0YafX68Urr7yCX/3qV9J21mg0MDw8LH0bp0+fxvPPPy8Z9UMPPQSv14tr166JhVGZZ3wYLgqRChlZnhae2F/+8pdiXMlkEkNDQ1KVBIAvfOELkuC2221YrVb4/X7UajXZYDLU5OpIbvK7SFAyLaDxra+vi4vl6eAGkDik91EJwXS9qySsVqs94mdd17G5udlT7ctkMjh48OD/43hcLhdGR0fxL//yL5ifn0cgEEAkEhGRWzqdxtLSEjqdDh599FEkEgkEg0HJ4v/hH/4BsVgM09PT+NGPfiSEIS2Q1ALjG08mDYLxgfGNrQ1/9Vd/JQiMXBZBB/m2oaEhEUHY7XaBxrVaDfPz8wJKnE5nDyNbr9cFKZG6p/KENXkWo4ynhzkRTyXwgW6KLsftdsPpdIrFAF2YRoRhrAVfuHABoVAInU4HExMTmJ+fx5kzZ6CqKu644w4cOXJESDc22BSLRSSTSZjNZrzwwgvYuXMnRkdH8aMf/UiUHC+//LJIdlS123zTarUQj8cl97Db7WKhREZkn3l6NE3Dzp07oeu6iPDoo6mZJcb3er2YnJyUk0+j27lzJxYWFrC6ugqLxYJ4PI5cLtejyWXpmXmZ1WrtCcyE13RTxqSQJ4zQWjXKJHmcjMiq3W5jc3MTfX19orRQVRV33nknNjY2cPjwYbHOkydP4uDBg1hYWMDMzAyWlpaQzWYxOTmJgYGBnm4gTdMwMzMj9PvJkydxzz334NKlSwiHw/jDH/6AU6dOIRAICN3AOna1WpUF5/1SjgoAdrtd3BBPF62ZdQ+qyLk4Xq9XxMgshVLS32w2Ybfb8e6778JsNiOVSomGinGF3BoVKNQrq6qKaDSKTCYjORRPBJtVyf2pwE0KnUkUH5CL3NfXh2q12tO9Mzs7C6vVijfeeAMbGxv42te+hp/97Gd488038ZWvfAVANxe4cOECzp49i3q9LtZMLRLlPUwQT58+Dbfbjeeff16aYk6fPi2uhPotSnBYzQsEApL90r1S4Ew0x8X2eDy4fv26uBD+w2uxDw+AbARZ33K5jLW1tR7oTffDtTGiT25Yq9VCIpEQdpxGrqpdVQ35LdXv98Pj8UiSQjRFWoEPx85TqtB5FN1uN8bGxjA9PS0M67PPPouPfOQjCIfD2L9/fw9AYK9dIBAQheDu3bvx9NNPQ1EUgcrUqFL8ZhSRsVeQVD4AIeYIfy0WC1wul6hHjG6Ei0X3QhViq9WSU0R6nb1+TPyuXr0gkl8QAAAgAElEQVQqchxe51YpD0u8jLMWiwWLi4vSHmfkuuiyGo1GN88g1cFTQrLP+LDccdLB5F0ikQgikQj279+Pubk57Nq1C263W/589uxZPPjgg4IiqNYeGBjApz/9aVy7dg3tdrunxcrn8+Hy5cv42c9+BkVR8MILL0gbGml2uiRaJNEWm2qI9ph4GaWgm5ubUi5mixtpej4rSU8yt9RBkf9iBk3oz38TZbHjlxumaRqi0aiQkQz0FA5+8L2qIJT+/n74fL6eRIUbYHx4+m+73Y4LFy7gypUrKBaLOHz4sAjTotEo0uk0hoeHcf36ddxzzz3ibm7cuIFgMAhd13Hs2DE8/fTTKBQKyGaz8j2//vWvkc/nRbxA4QLZTrIGvH8A0oVL9FIoFOQEs/+DgIS/Q2jKwhfQ5azoUubm5gQphUIhqegZ8zEWj9gTzuYX0jI0BLPZjJmZGSSTSXFx7EMsl8tdopBZJI/O0NCQ+EXeLE8GoazD4UCpVJIqVTabhcfjwd69e5HL5eD1evH222/jwoULGB4ehq7rCIfD2LlzJ/bu3Yvnn39eFB60FL/f31NaXV9fx9mzZ5FKpRCPx/HMM89gY2MDzWZTAib77dhPMT8/j2QyiWQyiUAggGaziWw2C4vFIsqRhYUFLC4uijxpfn5erscmSm4mF5y+nQky8xYuKiErGeVGoyFFKFYByXZcunRJTkmlUhGDUm02GywWS4/uiH6MFmX8b4q7aBmlUgnDw8N44YUXpCXsy1/+svTcTUxMIJ/PY2VlRXrX0uk0gsEg4vE4EomE8FXFYhFOp1N0ThcuXMCBAwcwPj6OTCaDVquFnTt3CpHHpkcqIbkBNpsNAwMDUtswxptOpyM5ia53FfjNZlP0tTz1tGbSOkxYOXaCFUBeW1EUcUs7duwQoTbLEcxB+L0rKyuYmZlBKpXC5uZmF2Yzy+SusgzK5Ml4YjSt22JFcqy/vx+tVgs///nPcezYMfz3f/83rl27hoceeggvvvgi4vE4vvCFL+C9996DyWSSngS6lG3btuGVV16ROR/McikiKBQK+O53v4vJyUmcPHkSuVwO9913HzqdDp577jmYTCZpfx4ZGcHp06exf/9+HDx4ELFYDDMzM3KiuQi5XA6//vWvMTAwIDXqBx54AIVCAQsLC1JH73Q66O/vh8fjQSwWg6qqotWNx+NSNDKiJ7r71dXVnlY7ABK3BgYGRIlotVoRjUZv9vSxbsCAQ+qZ/dfGgkq9Xhe/TUUEpYuElnfeeSfuv/9+PPfcc5ifn8dnP/tZfPWrX0Umk8G+ffuQTCYF6lUqFXi9Xin2s52X+QgFAEePHsXy8rKQf3QPCwsLuHTpEgDg9OnTyOVyeOqpp1AqlSRBa7dvDg9gz4TNZsNrr72G6elpDA8Pw+fzIZ1OS+2dGwd0lehUTho7lthMQ4/CRSfaBLoolM/C1jVCfGMBj9op1ZjKezwemM1m8WONRkPKrdxJpvHtdltKl3RnPK7r6+uCcu644w5RKJ46dQo2mw1+vx+HDx+Gx+ORhv4dO3ZgdHRUAuSxY8dEHPDNb34TkUgEHo8HlUoFtVoN9957L5566in4/X7EYjFxE6qq4sEHH8T3v/99gcoABAqXSiX8/d//PR5//HG43W5cvnwZTz75pOQdfDY25VAI7nQ6e2Z+cH4WxXiMG4TxhLtEVxIXPggDFI8z0XS5XN2yK6kHZqRut1usnfkFky7jh/9t/EKXy4XTp0+LhZlMJoyPj+Oxxx7D1NQUGo0GFhcXxQ2RH3rvvffEuj7+8Y/j9ddfh9vtlm7Z7373u3jppZewvr4u3zk/P48dO3bg0KFD8Pv9+OhHPwpd70oyp6amsGXLFlk8kpk0MBKSn/zkJyVmBgIBGatBt7O2tiYkpLEq5/f7pT2Bm0AXb4yzRlhtdJmNRkPofCoWTQAEklGCyCSHnBJrB8IufrDLlPlQi8ukz+/3I51OI5FICKL53ve+h6997WtQ1a4s88KFCxgbG8Pq6qr8fC6Xw9TUlJCCiqLgwIEDMJlMOH/+PCYnJzE4OIh4PI7du3cjFovh4YcfRrvdxjvvvCO1CNLyL730Ep544glJCOl+ms0mgsEg7rrrLqRSKZFXBgIBzMzMiPsgsqMy5FZvwAyaqLLVaol7N/ad01UZq3qkeNhlZbFYoO3evfspBmhyK3RXnBhAuFav1/Huu++iXq+jr69PiC7SJky06J9VVUWtVoPP58Ps7KyUc4eGhqRJ8tKlS7j99ttlwkI6nZYhYmazGTdu3EC1WsXdd9+NH/7wh7Db7RgaGkImk0FfX59kzdu2bcOPfvQj4Z9uu+023H///RgaGkJfXx/6+vqkgEb+SNM0RCIRHD58GIcOHcLZs2eRSCSk+XNwcBDnzp2Dw+GQHm7jeL12u42RkRHU63VRvRP222w2WK1W9PX1ST3cCIdZE2IMVBSl29NHZTd322QyCSPLAE03xoehC+LxtVqtPcOxqMij/mjPnj2CUqxWK3w+Hy5evCjXCAaDyGQyogDhTfP6r7/+ulD2r7zySk/wUxQFm5ubeOSRR3Do0CFs375dGumpWuHP6Xq3s5RT3Ah1A4EAtm7dKsa3bdu2noJTp9NtumFDKedK0UsYNWZ061wPCilIp5PB1vVuYz77+9R6vS5wkoo5Y7GGscHY8E4qgafB6CfNZrPMzKAPpdCXlgV0ex8++clPIhAIYPv27T2zDnkPpE6Ms680rTtV4erVqz3g4cqVK/B6vdi2bRsKhYIM5iLlwA2hD6dUlQhrdnZWhowFg0EcPHhQSgL8DnYasdDGdWOrAOmjcrmMTCaDjY0NSSwp02G7AKc98Pq1Wq2b9JHiIKNIGrnRaMjENVb9CHH5MaIIZpjk75k8lctlfP3rX4emadKUnkwmpYvpd7/7nVgt1XuEuhcvXoTX68X+/ftx6NAhlEolvPDCCxgeHsbFixfltIyMjEimHQ6HEQqFJCFjNsyBAcayJ+eLsP+EyBJAz1xC5knUibFKNzs7K7oA1i6MYIi0DV0bkRdBD8cLAoBaq9VEsmg8Uk6nE1arVSaKcXFJh3Q6HaEm+MV0KWtra7KZjUYDmUxGVHsOhwPz8/MiEaWPj0QiAk3j8TharRbq9TpGR0cFTr/zzjt49dVXEQqF8Pjjj+PgwYOIx+MolUo9eQgXORAIYGFhQRYCgIiojZkzcf76+rqMbwoEAlhcXBTqo9VqIZ1OI5PJ9IjRrly5IuVj40YwTyJtz9EVrMUQTJAVsFgsUEltc8FZdeLHCMtYUaNLunVaAN0G6weK0p0csGfPHtHwEr/zYSYnJ7F//36Ew2H4fD4cOnQIqqqiWq0iEonAZOqOlsvn8/jiF78IRVFgt9vh8/nw2GOPIZ1O49KlS0gmk/D7/dLSS7pmcnISAGSCAZGjyWSSvCEWi2FtbQ2dTneigc/nw/LyMrZv3y7rwNhm7O2gO7pw4QJcLheWlpbEFZGUZKA31ovsdrusKdeu1Wp1KXRjYZ/BiEiIx5kxg4FJ13VpoOeJ4M/R6hl7CIGPHz/eo1bkd7tcLkQiERw/fhzJZFKodN4oZw8yZ6DVKYqCt956C3Nzc1hcXMTi4qIUk/r7+2XBOU8rl8v11PhpxYVCQZr4i8UiDhw4AFVVpTpJRQzXwul09tTcl5eXxe3QgBlzqWYxnkayFZqm9Sju1Vt1o5RoUiXBk1Gv1yW2GBeTf8cTxhKi3W5HpVJBpVLB17/+daRSKcRiMYyOjopmiZQKp5stLCyIJe/du1eo7Gw2i0gkgt/+9rfyncFgEPv378fAwACcTidGR0fx+uuvY3FxUVR/dA+0Yi4KZzICXVHc5cuX0el0cPToUdx9991iIA8++KCcflIr3DBm07T2UqmEUCgkwZpVyVtlnWS7q9WqCNlolCoLKcDNphJyQkZMbOTkmcTwmBFV8R9SKs1mE2zGyeVy2LVrF/70pz/JdQCICpB1kGw2i3379kFRFMTjcRF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\" y=\"-22.326838\"/>\n",
       "   </g>\n",
       "   <g id=\"text_3\">\n",
       "    <!-- 第4位置0 -->\n",
       "    <defs>\n",
       "     <path d=\"M 3.125 29.296875 \n",
       "Q 3.90625 50 6.4375 56.046875 \n",
       "Q 8.984375 62.109375 13.671875 66.015625 \n",
       "Q 18.359375 69.921875 25.1875 69.921875 \n",
       "Q 32.03125 69.921875 37.109375 64.25 \n",
       "Q 42.1875 58.59375 43.75 50 \n",
       "Q 45.3125 41.40625 44.71875 30.265625 \n",
       "Q 44.140625 19.140625 40.8125 12.109375 \n",
       "Q 37.5 5.078125 30.859375 2.34375 \n",
       "Q 24.21875 -0.390625 17.578125 2.921875 \n",
       "Q 10.9375 6.25 8.203125 11.71875 \n",
       "Q 5.46875 17.1875 4.296875 23.234375 \n",
       "Q 3.125 29.296875 3.90625 50 \n",
       "z\n",
       "M 12.890625 52.734375 \n",
       "Q 10.546875 31.25 12.5 22.84375 \n",
       "Q 14.453125 14.453125 18.9375 10.9375 \n",
       "Q 23.4375 7.421875 28.125 9.5625 \n",
       "Q 32.8125 11.71875 34.953125 18.15625 \n",
       "Q 37.109375 24.609375 37.109375 32.21875 \n",
       "Q 37.109375 39.84375 36.515625 46.09375 \n",
       "Q 35.9375 52.34375 33 57.421875 \n",
       "Q 30.078125 62.5 25.1875 62.6875 \n",
       "Q 20.3125 62.890625 16.59375 57.8125 \n",
       "Q 12.890625 52.734375 10.546875 31.25 \n",
       "z\n",
       "\" id=\"SimHei-48\"/>\n",
       "    </defs>\n",
       "    <g transform=\"translate(268.764706 16.85625)scale(0.12 -0.12)\">\n",
       "     <use xlink:href=\"#SimHei-31532\"/>\n",
       "     <use x=\"100\" xlink:href=\"#SimHei-52\"/>\n",
       "     <use x=\"150\" xlink:href=\"#SimHei-20301\"/>\n",
       "     <use x=\"250\" xlink:href=\"#SimHei-32622\"/>\n",
       "     <use x=\"350\" xlink:href=\"#SimHei-48\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p5d1f525613\">\n",
       "   <rect height=\"98.470588\" width=\"98.470588\" x=\"7.2\" y=\"22.85625\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p8971555180\">\n",
       "   <rect height=\"98.470588\" width=\"98.470588\" x=\"125.364706\" y=\"22.85625\"/>\n",
       "  </clipPath>\n",
       "  <clipPath id=\"p60833d40a7\">\n",
       "   <rect height=\"98.470588\" width=\"98.470588\" x=\"243.529412\" y=\"22.85625\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均方差： 31.98828125\n",
      "峰值信噪比： 33.080894550661995\n",
      "均方差： 32.01171875\n",
      "峰值信噪比： 33.07771368273242\n"
     ]
    }
   ],
   "source": [
    "plt.figure\n",
    "plt.subplot(1, 3, 1), plt.imshow(img, cmap=\"gray\"), plt.axis(\"off\"), plt.title(\"原图\")\n",
    "plt.subplot(1, 3, 2), plt.imshow(four_set_one, cmap=\"gray\"), plt.axis(\"off\"), plt.title(\"第4位置1\")\n",
    "plt.subplot(1, 3, 3), plt.imshow(four_set_zero, cmap=\"gray\"), plt.axis(\"off\"), plt.title(\"第4位置0\")\n",
    "plt.show()\n",
    "myipf.calcMSEPSNR(img, four_set_one)\n",
    "myipf.calcMSEPSNR(img, four_set_zero)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
